* Awair Sensor Platform
This commit adds a sensor platform for Awair devices, by accessing
their beta API. Awair heavily rate-limits this API, so we throttle
updates based on the number of devices found. We also allow for the
user to bypass API device listing entirely, because the device list
endpoint is limited to only 6 calls per day. A crashing or restarting
server would quickly hit that limit.
This sensor platform uses the python_awair library (also written
as part of this PR), which is available for async usage.
* Disable pylint warning for broad try/catch
It's true that this is generally not a great idea, but we really don't
want to crash here. If we can't set up the platform, logging it and
continuing is the right answer.
* Add space to satisfy the linter
* Awair platform PR feedback
- Bump python_awair to 0.0.2, which has support for more granular exceptions
- Ensure we have python_awair available in test
- Raise PlatformNotReady if we can't set up Awair
- Make the 'Awair score' its own sensor, rather than exposing it other ways
- Set the platform up as polling, and set a sensible default
- Pass in throttling parameters to the underlying data class, rather
than use hacky global variable access to dynamically set the interval
- Switch to dict access for required variables
- Use pytest coroutines, set up components via async_setup_component,
and test/modify/assert in generally better ways
- Commit test data as fixtures
* Awair PR feedback, volume 2
- Don't force updates in test, instead modify time itself and let
homeassistant update things "normally".
- Remove unneeded polling attribute
- Rename timestamp attribute to 'last_api_update', to better reflect
that it is the timestamp of the last time the Awair API servers
received data from this device.
- Use that attribute to flag the component as unavailable when data
is stale. My own Awair device periodically goes offline and it really
hardly indicates that at all.
- Dynamically set fixture timestamps to the test run utcnow() value,
so that we don't have to worry about ancient timestamps in tests
blowing up down the line.
- Don't assert on entities directly, for the most part. Find desired
attributes in ... the attributes dict.
* Patch an instance of utcnow I overlooked
* Switch to using a context manager for timestream modification
Honestly, it's just a lot easier to keep track of patches. Moreover,
the ones I seem to have missed are now caught, and tests seem to
consistently pass.
Also, switch test_throttle_async_update to manipulating time more
explicitly.
* Missing blank line, thank you hound
* Fix pydocstyle error
I very much need to set up a script to do this quickly w/o tox, because
running flake8 is not enough!
* PR feedback
* PR feedback
* Initial stuff
* More work in place
* Starting with tests
* Device registry in place
* Hound
* Linting
* Member comments (including extracting device registry)
* Member comments (plus I forgot cleanup!)
* Hound
* More Hound
* Removed old import
* Adding config entry test to coverage
* Updated strings
* Add srp_energy
* Update message on TypeError. Add check for None state.
* Add check for none in history
* Add srpenergy to Test requirements.
* Add srpenergy to requirments.
* Change = to ==.
* Change import for srpenergy
* Fix Flak8 errors
* Add srp to gen requirements script
* Change config name.
* Add daily usage test
* Add test for daily usage.
* Fix Flake8 message.
* Remove blank after docstring.
* Add srpenergy to coverage
* Bump requires version to srpenergy
* Fix type in coverage. Import from Sensor. Use dict.
* Update to 1.0.5. Check credentials on setup. Standalone test.
* Fix formating.
* Remove period. Rename _ variables.
* Fix rebase merge
* Add rebase requirement
* Improve Mock Patching.
In 0.7.x the API to HDate was cleaned up so as to move logic from homeassistant to
the HDate external library.
This commit removes all the superfluous code, updates the required tests and changes the
requirement from version 0.6.5 to 0.7.5
* initial tensorflow image_processing component
* linting fixes
* make displayed attribute a summary of objects
* fix missed merge conflict and add warning supression back in for CPU type
* restructure tensorflow component to install on the fly, remove from Docker
* add both matches and summary as attributes
* address review comments
* do not use deps folder as default, as it should only be managed by HA. Update to have tensorflow in root config directory